Starter-kit to build constrained agents with Nextjs, FastAPI and Langchain

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

Build chat in minutes with Sendbird UIKit open source code.

Sendbird UIKit for iOS is a development kit with a user interface, offering a simplified integration into chat.

Build chat in minutes with Sendbird UIKit open source code.

[Deprecated] Sendbird Chat SDK for iOS in Objectivce-C for enablement of a rich, engaging, scalable, and real-time chat service.

Your AI Powered Enterprise Knowledge Partner. Designed to be used at scale from ingesting large amounts of documents formats such as pdfs, docx, xlsx, png, jpgs, tiff, mp3, mp4, jpeg. Integrates with s3, Windows Shares, Google Drive and more.

MiniPilot is a GenAI-assisted chatbot backed by Redis. Chat with your documents

Build chat in minutes with Sendbird UIKit open source code and samples.

This repository provides feature-level Chat samples with Swift.

Build a custom user interface for more tailored, controlled, and consolidated interactions with Amazon Q business.

Using MongoDB Atlas + ActionWeaver, we can build a user proxy agent that efficiently retrieves and ingests relevant information. This agent presents the data to the user in an interactive and customizable manner, enhancing the overall user experience.

Build AI Chatbot in minutes with Sendbird Chatbot Widget.

Sendbird Chat SDK for JavaScript.

🚅 LiteLLM Proxy for Google Cloud Generative AI

Witsy: desktop AI assistant

Sendbird Chat SDK for iOS for enablement of a rich, engaging, scalable, and real-time chat service.

The project focuses on Intel’s enterprise AI and cloud native foundation for Red Hat OpenShift Container Platform (RHOCP) solution enablement and innovation including Intel data center hardware features, Intel technology enhanced AI platform and the referenced AI workloads provisioning for OpenShift.

Improve insights to make smarter decisions by tapping into real-time data with retrieval-augmented generation (RAG).